Disease diagnostic classifier for chronic lymphocytic leukemia using genomic data

Abstract

This project involves the identification of miRNAs that are differentially expressed across Indolent Vs Progressive and Case Vs Control samples in Chronic Lymphocytic Leukemia (CLL). For this, we have analysed miRNA sequence data files and RT-PCR data on Chronic Lymphocyitc Leukemia (CLL) which were provided by AIIMS. The pathways associated with the differentially expressed miRs have also been identified. The implementation involves the utilisation of mirDeep*, R, CD-HIT,WEKA, miRNet and miRCarta for analysis. Python and Bash shell scripting were also used during the feature extraction process.